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  • 1) Write a function reverse(A) which takes a matrix A of arbitrary dimensions as input and returns a

    1) Write a function reverse(A) which takes a matrix A of arbitrary dimensions as input and returns a matrix B consisting of the columns of A in reverse order. Thus for example, if A = 1 2 3 then B = 3 2 1 4 5 6 6 5 4 7 8 9 9 8 7 Write a main program to call reverse(A) for the matrix A = magic(5). Print to the screen both A and reverse(A). 2) Write a program which accepts an input k from the keyboard, and which prints out the smallest fibonacci number that is at least as large as k. The program should also print out its position in the fibonacci sequence. Here is a sample of input and output: Enter k>0: 100 144 is the smallest fibonacci number greater than or equal to 100. It is the 12th fibonacci number.

    标签: dimensions arbitrary function reverse

    上传时间: 2016-04-16

    上传用户:waitingfy

  • WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for time series analysis techni

    WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for time series analysis techniques presented in: Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis. Cambridge: Cambridge University Press.

    标签: implemenation for analysis toolbox

    上传时间: 2014-01-15

    上传用户:huangld

  • 根据DFT的基二分解方法

    根据DFT的基二分解方法,可以发现在第L(L表示从左到右的运算级数,L=1,2,3…M)级中,每个蝶形的两个输入数据相距B=2^(L-1)个点,同一旋转因子对应着间隔为2^L点的2^(M-L)个蝶形。从输入端开始,逐级进行,共进行M级运算。在进行L级运算时,依次求出个2^(L-1)不同的旋转因子,每求出一个旋转因子,就计算完它对应的所有的2^(M-L)个蝶形。因此我们可以用三重循环程序实现FFT变换。同一级中,每个蝶形的两个输入数据只对本蝶形有用,而且每个蝶形的输入、输出数据节点又同在一条水平线上,所以输出数据可以立即存入原输入数据所占用的存储单元。这种方法可称为原址计算,可节省大量的存储单元。附件包含算法流程图和源程序。

    标签: DFT 分解方法

    上传时间: 2013-12-25

    上传用户:qiao8960

  • 对于给定的一组进程

    对于给定的一组进程,采用优先级加时间片轮转法进行调度。设有一个就绪队列,就绪进程按优先数(优先数范围0-100)由小到大排列(优先数越小,级别越高)。当某一进程运行完一个时间片后,其优先级应下调(如优先数加3),试对如下给定的一组进程给出其调度顺序。每当结束一进程时要给出当前系统的状态(即显示就绪队列)。这里,进程可用进程控制块(PCB)表示为如右表所示。 进程名 A B C D E F G H J K L M 到达时间 0 1 2 3 6 8 12 12 12 18 25 25 服务时间 6 4 10 5 1 2 5 10 4 3 15 8

    标签: 进程

    上传时间: 2014-01-13

    上传用户:chfanjiang

  • [wireless—Mobile Network] l MobiWan is a Mobile IPv6 extension for the NS simulator l MobiWan:

    [wireless—Mobile Network] l MobiWan is a Mobile IPv6 extension for the NS simulator l MobiWan: NS-2 extensions to study mobility in Wide-Area IPv6 Networks l NS2 + MobiWan2的安裝 l MobiWan的安裝 (From Wireless Netorwork Lab at Beijing University of Posts and Telecommunications) l Ant-like Mobile Agents - NS2 Patch l SUMO – Simulation of UrBan Mobility ( AN open source traffic simulation package)

    标签: MobiWan Mobile extension simulator

    上传时间: 2016-06-29

    上传用户:缥缈

  • 对PL0原编译器进行了以下的扩充:1.增加以下保留字else(elsesym), for(forsym),to(tosym),downto(downtosym),return(returnsym),[

    对PL0原编译器进行了以下的扩充:1.增加以下保留字else(elsesym), for(forsym),to(tosym),downto(downtosym),return(returnsym),[(lmparen),](rmparen) 2.增加了以下的运算符:+=(eplus),-=(eminus),++(dplus),--(dminus) 取址运算符&(radsym),指向运算符@(padsym) 3.修改单词:修改不等号#为<> 4.扩充语句:(1)增加了else子句 (2)增加了for语句 5.增加运算:(1).++运算 (2).--运算;(3).+=运算 (4).-=运算;(5).&取址运算; (6).@指向运算; 6.增加类型:(1).增加多维数组a[i1][i2][i3]……[i(n-1)][i(n-2)][in] (2).增加指针类型(任何变量都能存放指针,但不支持指针的指针,如b:=@@a应该改写为c:=@a,b:=@c) 7.将过程procedure扩展为函数:(1).允许定义过程时在其后加参数(var a, var b,……..,var n) (2)允许通过指针向函数形式参数传地址;(3)允许返回值;可以用 a:=p(a,b,c….,n) 返回

    标签: downtosym returnsym elsesym downto

    上传时间: 2016-07-02

    上传用户:saharawalker

  • The task of clustering Web sessions is to group Web sessions based on similarity and consists of max

    The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity. The first and foremost question needed to be considered in clustering W b sessions is how to measure the similarity between Web sessions.However.there are many shortcomings in traditiona1 measurements.This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited web page.Yhen we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e币cient.

    标签: sessions clustering similarity Web

    上传时间: 2014-01-11

    上传用户:songrui

  • 本人编写的incremental 随机神经元网络算法

    本人编写的incremental 随机神经元网络算法,该算法最大的特点是可以保证approximation特性,而且速度快效果不错,可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.

    标签: incremental 编写 神经元网络 算法

    上传时间: 2016-09-18

    上传用户:litianchu

  • 一个神经网络的工具箱

    一个神经网络的工具箱,用于M a t l a b中

    标签: 神经网络 工具箱

    上传时间: 2016-09-28

    上传用户:zhanditian

  • Atheros Communications AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on

    Atheros Communications AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on k14 fw1.1) Windows CE Embedded CE 6.0 driver installation. 1. Unzip the installation file onto your system (called installation directory below) 2. Create an OS design or open an existing OS design in Platform Builder 6.0. a. The OS must support the SD bus driver and have an SD Host Controller driver (add these from Catalog Items). b. Run image size should be set to allow greater than 32MB. 3. a. From the Project menu select Add Existing Subproject... b. select AR6K_DRV.pbxml c. select open This should create a subproject within your OS Design project for the AR6K_DRV driver. 4. Build the solution.

    标签: Communications installation Atheros Driver

    上传时间: 2016-10-27

    上传用户:hebmuljb